Objective
The overall objective of the AGENT-DYSL project is to contribute in narrowing the gap between good and poor (due to dyslexia) readers. AGENT-DYSL's main target group is school-aged children. AGENT-DYSL's approach towards obtaining the objective is to develop a "next generation assistive reading system" and to incorporate it into learning environments.
Children using AGENT-DYSL's Intelligent Assistive Reading System will receive personalized treatment by the system, which will customize the presentation of the reading material (most likely study material for a school lesson), helping each child to improve its reading.
The AGENT-DYSL's Intelligent Assistive Reading System builds and maintains individual profiles by "observing" each child reading the text on the system's viewing area and by recognizing the reading errors. These individual profiles are used in deciding how to alter the text presentation, so that each child's reading performance is improved.
In addition to being able to "listen to children reading", the AGENT-DYSL system is also able to "see" the children while they read. By employing image analysis techniques, the system can assess the child's emotional and physical state, and dynamically adapt the document presentation accordingly (a tired child or a child under emotional stress is more likely to have reduced reading performance).
To improve its usability and by seeking to be accepted by its main target group, i.e. dyslexic children, the AGENT-DYSL system also employs age-appropriate and dyslexia-sensitive user interfaces.
The Intelligent Assistive Reading System is expected to be useful on its own; however AGENT-DYSL expects to magnify its benefits to dyslexic children by incorporating it into the school environment, resulting into an "accommodative learning environment" which also takes into account the context of learning, i.e. interactions among normal and dyslexic children, the teacher and assistants.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
28037 MADRID
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.